Results 191 to 200 of about 1,389,721 (276)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Cross-lingual sparse-MoE distillation for efficient low-resource assamese-english and bodo-english translation. [PDF]

Sci Rep
Nath B, Gulzar Y.
europepmc   +1 more source

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

Advanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Transitioning to a Flexible, Tiered, Developmentally Informed Same-Day Screening Model for Preschoolers in Low-Resource Settings. [PDF]

Child Care Health Dev
Smith R, Jordaan EM, Russell DC, de Milander M, van Rooyen M, Jansen van Vuuren X, Devenier M, Bonafede C, Louw M, Kruger A, Sivhugwana I, Nkomo T, van der Merwe M.   +12 more
europepmc   +1 more source

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

Advanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar, Guillaume Lambard, Jessie Manopo, Ruili Guo, Kevin Septioga, Rizfi F. Pari, Toshinori Matsushima, Zhanglin Guo   +7 more
wiley   +1 more source

Social determinants of health screening and interventions in neonatal care pathways (NICU to follow-up): a scoping review. [PDF]

Eur J Pediatr
Nezafat Maldonado B, Evans K, Jones M, Park J, Wood E, Khan H, Cawley P.   +6 more
europepmc   +1 more source

Toward Next‐Generation High‐Speed Communication and Imaging: Solution‐Processed Sb2(S,Se)3/CdS Heterojunction for Ultrafast Self‐Powered Photodetector

Advanced Science, EarlyView.
A high‐quality solution‐processed Sb2(S,Se)3/CdS heterojunction is designed to overcome the intrinsic limitations of conventional photodetectors. The fabricated device achieves an excellent self‐powered performance, including a high responsivity of 0.6 A W−1, an ultrahigh specific detectivity of 7.68 × 1012 Jones, and a wide 3db bandwidth of 175 kHz ...
Xuhua Xiao, Yichao Wang, Jingxuan Bian, Hailong Wang, Yongqiang Wang, Jinpeng Xu, Junwei Chen   +6 more
wiley   +1 more source

Large-Scale Model-Enhanced Vision-Language Navigation: Recent Advances, Practical Applications, and Future Challenges. [PDF]

Sensors (Basel)
Li Z, Meng X, He X, Zhang Y, Yin W.
europepmc   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source